Identify in-store promotions using AI

Below is a free classifier to identify in-store promotions. Just upload your image, and our AI will predict if there are in-store promotions - in just seconds.

API Access


import nyckel

credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("in-store-promotions", "your_image_url", credentials)


fetch('https://www.nyckel.com/v1/functions/in-store-promotions/invoke', {
    method: 'POST',
    headers: {
        'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
        'Content-Type': 'application/json',
    },
    body: JSON.stringify(
        {"data": "your_image_url"}
    )
})
.then(response => response.json())
.then(data => console.log(data));


curl -X POST \
    -H "Content-Type: application/json" \
    -H "Authorization: Bearer YOUR_BEARER_TOKEN" \
    -d '{"data": "your_image_url"}' \
    https://www.nyckel.com/v1/functions/in-store-promotions/invoke

How this classifier works

To start, upload your image. Our AI tool will then predict if there are in-store promotions.

This pretrained image model uses a Nyckel-created dataset and has 5 labels, including Buy One Get One, Clearance, Discount, Seasonal Sale and Special Offer.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if there are in-store promotions).

Whether you're just curious or building in-store promotions detection into your application, we hope our classifier proves helpful.

Need to identify in-store promotions at scale?

Get API or Zapier access to this classifier for free. It's perfect for:

Enhanced Product Visibility: By utilizing the image classification function, retailers can identify and highlight promotional products on shelves in real-time. This promotes better visibility of sale items to shoppers, leading to increased sales and improved customer satisfaction.

Targeted Marketing Campaigns: The image classification tool can analyze in-store product placements and promotions to inform targeted marketing strategies. Retailers can deploy specific advertising campaigns based on the identified products, ensuring that promotions reach the right audience effectively.

Real-Time Inventory Management: By identifying promotional items through images, retailers can keep track of inventory levels in real-time. This allows for timely replenishment of promotional stock, minimizing lost sales due to out-of-stock situations during high-demand periods.

Performance Analytics: The function can analyze the effectiveness of in-store promotions by tracking customer interactions and engagement with promotional displays. Retailers can gain insights into which promotions drive the most traffic and sales, helping to optimize future marketing strategies.

Customer Behavior Insights: Image classification can help retailers understand how customers navigate through promotional areas of the store. By analyzing which promotions capture attention, retailers can refine store layouts and product placements to enhance customer experience and maximize sales.

Dynamic Pricing Strategies: By continuously identifying promotional items, retailers can adapt pricing strategies based on real-time data. This enables dynamic pricing adjustments during peak shopping times, increasing competitiveness and driving higher revenue.

Competitive Analysis: Retailers can use image classification to evaluate competitor promotions by analyzing in-store images. This information can assist in understanding market positioning and adjusting promotional strategies to stay competitive in the marketplace.